Full-Time Data Scientist, Assortment Planning
Literati is hiring a remote Full-Time Data Scientist, Assortment Planning. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.
Literati
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Think of your favorite book from childhood. Got it? Great. Now, that warm, joyful feeling you have right now—that’s what we do. Literati is a modern children’s book company focused on helping kids fall in love with reading at every age and stage. We make it easy to find great books through our school book fairs, school store fundraising platform, and book clubs using a unique mix of expert curation and data science. We’re on a mission to help parents ignite a love of learning and a love of life.
As a Data Scientist focusing on inventory and personalization, you’ll directly influence which books enter our collection and how they reach children’s hands. You’ll develop and deploy machine learning models to optimize our inventory decisions, personalize book selections for schools, and predict inventory movement.
This is a full-stack data science position where you’ll own problems from ideation through production and validation, building solutions that drive measurable business outcomes.
Requirements:
- Advanced degree in Data Science, Computer Science, Statistics, Operations Research, or a related quantitative field
- 2+ years of experience using the tools of data science to solve impactful business problems
- Passion for making a positive impact on children’s education
We’d love to see:
- Experience developing, deploying, and maintaining production ML systems
- Knowledge of retail business models or inventory optimization
- Strong ability to make decisions with complex or uncertain objectives
Responsibilities:
- Develop ML models to identify optimal books for our inventory, personalize selections for different schools, and forecast inventory levels
- Take data science projects from concept to production, including experimentation and iteration
- Identify new opportunities to drive business impact through data science
- Champion best practices in algorithm engineering and machine learning operations